"erroneous input" is a correct and usable term in written English.
It can be used in any context where something incorrect or invalid has been inputted into a system or process. For example, "Computer systems are designed to flag erroneous input and inform users of any mistakes."
In the future, we must devise a character-input algorithm that eliminates such erroneous input.
The goal of robustness testing is to characterize the behavior of a system in presence of erroneous input conditions.
In the future, we will devise a better character input algorithm that eliminates erroneous input caused by finger linkage.
Robustness testing consists in stimulating a system with erroneous input conditions with the goal of triggering internal errors.
Secondly, binding of erroneous input and desired output contributes to better convergence in terms of reduced prediction error when using the NN for unseen data.
Robustness tests stimulate the system under testing through its interfaces submitting erroneous input conditions that may trigger internal errors or may reveal vulnerabilities.
Some erroneous inputs were generated by contact forces that exceeded the input threshold during the experiment.
Fuzzing is a popular technique to find flaws in programs using invalid or erroneous inputs but not without its drawbacks.
To prevent erroneous inputs resulting from finger linkage, the force threshold needs to be set individually for each person, depending on how much finger-linkage movement they experience.
Because the erroneous inputs were caused by finger linkage, further consideration will have to be given to pattern recognition methods that use a combination of force sensors to differentiate intentional input from unintentional input.
The ability to gracefully handle erroneous inputs is a well-known problem in the robustness testing domain, where tests using invalid inputs applied on external interfaces of many different systems have been used with great success [10 12].
